AI Risk Atlas
A governance command center for 77 canonical agentic risks and 157 controls — mapped by severity, likelihood, control depth, and eight risk frameworks including the IBM AI Risk Atlas.
Priority register
Highest inherent-risk items.
- 112Objective Substitution & Proxy GamingAI System Safety4 ctrl
- 212A2A Trust ExploitationMulti-Agent Security4 ctrl
- 312Persistent Memory CorruptionMemory & Knowledge Governance5 ctrl
- 412External Goal ManipulationSecurity & Identity6 ctrl
- 512Indirect Prompt InjectionSecurity & Identity6 ctrl
- 612MCP Tool Description Poisoning (TPA-D)Tool & Affordance Risk7 ctrl
- 712MCP Resource & Prompt Primitive InjectionSecurity & Identity5 ctrl
- 89Unintended Environmental ImpactAI System Safety3 ctrl
Domain coverage map
Risk load and average control depth per governance domain.
Capability‑pattern applicability
The 77 risks span agentic deployment patterns and foundational (inherited) risks — every risk and control is tagged by pattern so you can scope to your architecture.
Framework cross-reference coverage
How many of the 77 risks carry a mapping to each major taxonomy.
Filter 77 risks by domain, severity, and likelihood.
Open157 controls with owners, thresholds, and cadence.
OpenGlossary, framework sources, and overlap register.
OpenCompiled from leading AI risk frameworks — including the IBM AI Risk Atlas, MIT AI Risk Repository, NIST AI 600-1, ISO 42001, OWASP LLM/Agentic, MITRE ATLAS, Cisco AI Defense, and Palo Alto Prisma AIRS. Inherent-risk scores are severity × likelihood; control depth reflects mapped agentic and non-agentic controls. Expert‑elicited for governance reference only.